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公开(公告)号：US09805292B2
公开(公告)日：2017-10-31
申请号：US15474356
申请日：2017-03-30
Applicant: Google Inc.
Inventor： Troy Chinen , Ameesh Makadia , Corinna Cortes , Hartwig Adam , Nemanja Petrovic , Teresa Ko , Sebastian Pueblas
CPC classification number: G06K9/6267 , G06F17/30259 , G06F17/30277 , G06K9/0055 , G06K9/6202 , G06K9/6215 , H04N5/23222 , H04N5/23293 , H04N5/23296
Abstract: Techniques for providing image search templates are provided. An image search template may be associated with an image search query to aid the user in capturing an image that will be appropriate for processing the search query. The template may be displayed as an overlay during an image capturing process to indicate an appropriate image capturing pose, range, angle, or other view characteristics that may provide more accurate search results. The template may also be used in the image search query to segment the image and identify features relevant to the search query. Images in an image database may be clustered using characteristics of the images or metadata associated with the images in order to establish groups of images from which templates may be derived. The generated templates may be provided to users to assist in capturing images to be used as search engine queries.
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公开(公告)号：US09721188B2
公开(公告)日：2017-08-01
申请号：US14683643
申请日：2015-04-10
Applicant: Google Inc.
Inventor： Hartwig Adam , Li Zhang
CPC classification number: G06K9/6217 , G06F17/30244 , G06F17/30247 , G06F17/30265 , G06K9/00624 , G06K9/00664 , G06K9/46 , G06K9/726
Abstract: Methods and systems for automatic detection of landmarks in digital images and annotation of those images are disclosed. A method for detecting and annotating landmarks in digital images includes the steps of automatically assigning a tag descriptive of a landmark to one or more images in a plurality of text-associated digital images to generate a set of landmark-tagged images, learning an appearance model for the landmark from the set of landmark-tagged images, and detecting the landmark in a new digital image using the appearance model. The method can also include a step of annotating the new image with the tag descriptive of the landmark.
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公开(公告)号：US09465977B1
公开(公告)日：2016-10-11
申请号：US14334354
申请日：2014-07-17
Applicant: Google Inc.
Inventor： Jonathan McPhie , Hartwig Adam , Dan Fredinburg , Alexei Masterov
IPC: G06K9/00
CPC classification number: G06K9/00241 , G06K9/00288 , G06K9/6254 , G06K9/6255
Abstract: Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.
Abstract translation: 实现通常涉及面模板平衡。 在一些实现中，一种方法包括生成与各个图像相对应的面部模板。 该方法还包括基于脸部模板将图像与用户进行匹配。 该方法还包括接收一个或多个匹配图像是不匹配图像的确定。 该方法还包括将与一个或多个不匹配图像相对应的一个或多个面部模板标记为负面模板。
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公开(公告)号：US09323792B2
公开(公告)日：2016-04-26
申请号：US14314948
申请日：2014-06-25
Applicant: Google Inc.
Inventor： Ming Zhao , Yantao Zheng , Yang Song , Hartwig Adam
CPC classification number: G06F17/30289 , G06F17/30247 , G06F17/30265 , G06F17/30312 , G06F17/30861
Abstract: This invention relates to building a landmark database from web data. In one embodiment, a computer-implemented method builds a landmark database. Web data including a web page is received from one or more websites via one or more networks. The web data is interpreted using at least one processor to determine landmark data describing a landmark. At least a portion of the landmark data identifies a landmark. Finally, a visual model is generated using the landmark data. A computing device is able to recognize the landmark in an image based on the visual model.
Abstract translation: 本发明涉及从网络数据建立地标数据库。 在一个实施例中，计算机实现的方法构建地标数据库。 通过一个或多个网络从一个或多个网站接收包括网页的网页数据。 使用至少一个处理器来解释网络数据，以确定描述地标的地标数据。 地标数据的至少一部分标识了一个里程碑。 最后，使用地标数据生成视觉模型。 计算设备能够基于视觉模型识别图像中的地标。
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公开(公告)号：US09268793B2
公开(公告)日：2016-02-23
申请号：US14205669
申请日：2014-03-12
Applicant: Google Inc.
Inventor： Wenze Hu , Zhongli Ding , Hartwig Adam , Randall G. Keller
CPC classification number: G06F17/30247 , G06K9/00288 , G06K9/6218 , G06K9/6255 , G06K9/6284
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adjusting facial image search results. In one aspect, a method includes detecting, in images that are responsive to a query, faces in the images and building facial templates. The images are then clustered according to similarity measures of the facial templates. The cluster with the highest quantity is selected, and each image in the set of returned images is compared to each image in the selected cluster. The similarity of each face with the faces in the largest cluster, based on the facial templates, is determined as an inlier score for the image in which the face is depicted. The system then increases the rank of images with high inlier scores and decreases the rank of images with low inlier scores.
Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于调整面部图像搜索结果。 一方面，一种方法包括在响应于查询的图像中检测面部在图像中并构建面部模板。 然后根据面部模板的相似度测量对图像进行聚类。 选择具有最高数量的群集，并将所返回图像集中的每个图像与所选群集中的每个图像进行比较。 基于面部模板，每个面部与最大簇中的脸部的相似度被确定为描绘脸部的图像的入射点。 然后，系统增加具有高入射分数的图像的等级，并且降低具有低初始分数的图像的等级。
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Patent Agency Ranking
公开(公告)号：US09104914B1
公开(公告)日：2015-08-11
申请号：US14278450
申请日：2014-05-15
Applicant: Google Inc.
Inventor： Luc Vincent , Bo Wu , Ahmad Abdulkader , Marco Zennaro , Alessandro Bissacco , Hartwig Adam , Kong Man Cheung , Hartmut Neven , Andrea Lynn Frome
IPC: G06K9/00
CPC classification number: G06K9/00624 , G06K9/00228 , G06K9/00771 , G06K9/00791 , G06K9/72 , G06K2209/15
Abstract: Embodiments of this invention relate to detecting and blurring images. In an embodiment, a system detects objects in a photographic image. The system includes an object detector module configured to detect regions of the photographic image that include objects of a particular type at least based on the content of the photographic image. The system further includes a false positive detector module configured to determine whether each region detected by the object detector module includes an object of the particular type at least based on information about the context in which the photographic image was taken.
Abstract translation: 本发明的实施例涉及检测和模糊图像。 在一个实施例中，系统检测摄影图像中的对象。 该系统包括对象检测器模块，其被配置为至少基于摄影图像的内容来检测包括特定类型的对象的摄影图像的区域。 所述系统还包括假阳性检测器模块，其被配置为至少基于关于拍摄照片的上下文的信息来确定由对象检测器模块检测到的每个区域是否包括特定类型的对象。
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公开(公告)号：US09098552B2
公开(公告)日：2015-08-04
申请号：US13759631
申请日：2013-02-05
Applicant: Google Inc.
Inventor： Hartwig Adam , Sylvain Gelly , Yuan Li , Taehee Lee
IPC: G06F17/30
CPC classification number: G06F17/30244 , G06F17/30256 , G06F17/30265
Abstract: Methods, systems, and apparatus for scoring images related to entities. In one aspect, a method includes identifying images associated with a person, each image being included in one or more resources; obtaining, for each resource that includes one of the images, a quality score that represents a quality of the resource; for each of the images: generating an image resource quality score from the quality scores of the resources that include the image; identifying a set of similar images from the images, each similar image having a measure of similarity to the image that meets a similarity measure threshold; generating an image score based on image resource quality scores of the resources that include the similar images relative to image resource quality scores of the resources that include each of the images; and generating an image authority score based on the image resource quality score and the image score.
Abstract translation: 用于评分与实体有关的图像的方法，系统和装置。 一方面，一种方法包括识别与人相关联的图像，每个图像被包括在一个或多个资源中; 对于包括所述图像之一的每个资源，获得表示所述资源质量的质量分数; 对于每个图像：从包括图像的资源的质量得分生成图像资源质量得分; 从所述图像识别一组相似的图像，每个相似图像具有与满足相似性测量阈值的图像相似度的度量; 基于包括相似图像的资源的图像资源质量得分相对于包括每个图像的资源的图像资源质量得分来生成图像分数; 以及基于图像资源质量得分和图像得分生成图像授权分数。
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公开(公告)号：US09087269B2
公开(公告)日：2015-07-21
申请号：US13659148
申请日：2012-10-24
Applicant: Google Inc.
Inventor： Troy Chinen , Teresa Ko , Corinna Cortes , Nemanja Petrovic , Ameesh Makadia , Sebastian Pueblas , Hartwig Adam
CPC classification number: G06K9/6267 , G06F17/30259 , G06F17/30277 , G06K9/0055 , G06K9/6202 , G06K9/6215 , H04N5/23222 , H04N5/23293 , H04N5/23296
Abstract: Techniques for providing image search templates are provided. An image search template may be associated with an image search query to aid the user in capturing an image that will be appropriate for processing the search query. The template may be displayed as an overlay during an image capturing process to indicate an appropriate image capturing pose, range, angle, or other view characteristics that may provide more accurate search results. The template may also be used in the image search query to segment the image and identify features relevant to the search query. Images in an image database may be clustered using characteristics of the images or metadata associated with the images in order to establish groups of images from which templates may be derived. The generated templates may be provided to users to assist in capturing images to be used as search engine queries.
Abstract translation: 提供了提供图像搜索模板的技术。 图像搜索模板可以与图像搜索查询相关联，以帮助用户捕获适合于处理搜索查询的图像。 在图像拍摄过程期间，可以将模板显示为覆盖图，以指示可提供更准确的搜索结果的适当的图像捕获姿态，范围，角度或其他视图特征。 模板也可以用于图像搜索查询中以分割图像并识别与搜索查询相关的特征。 图像数据库中的图像可以使用与图像相关联的图像或元数据的特征来聚类，以便建立可以从其导出模板的图像组。 可以将生成的模板提供给用户以帮助捕获要用作搜索引擎查询的图像。
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公开(公告)号：US20150170001A1
公开(公告)日：2015-06-18
申请号：US14027512
申请日：2013-09-16
Applicant: Google Inc.
Inventor： Andrew Rabinovich , Hartwig Adam
CPC classification number: G06K9/66 , G06K9/6256 , G06K9/6267 , G06K2209/17
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting training images. One of the methods includes determining, for each of a plurality of labels that each designate a respective food class of a plurality of food classes, a respective measure of importance. A respective sample size is determined for the label based on the respective measure of importance of the label. A number of training images are selected for each respective label according to the determined sample size for the label. A predictive model is trained using the selected training images as training data.
Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于选择训练图像。 其中一种方法包括为每个指定多个食品类别的相应食品类别的多个标签中的每一个确定相应的重要度量。 基于标签的重要性的相应测量，确定标签的相应样本大小。 根据标签的确定的样本大小，为每个各个标签选择多个训练图像。 使用所选择的训练图像作为训练数据训练预测模型。
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公开(公告)号：US20150169994A1
公开(公告)日：2015-06-18
申请号：US13659148
申请日：2012-10-24
Applicant: Google Inc.
Inventor： Troy Chinen , Teresa Ko , Corinna Cortes , Nemanja Petrovic , Ameesh Makadia , Sebastian Pueblas , Hartwig Adam
CPC classification number: G06K9/6267 , G06F17/30259 , G06F17/30277 , G06K9/0055 , G06K9/6202 , G06K9/6215 , H04N5/23222 , H04N5/23293 , H04N5/23296
Abstract: Techniques for providing image search templates are provided. An image search template may be associated with an image search query to aid the user in capturing an image that will be appropriate for processing the search query. The template may be displayed as an overlay during an image capturing process to indicate an appropriate image capturing pose, range, angle, or other view characteristics that may provide more accurate search results. The template may also be used in the image search query to segment the image and identify features relevant to the search query. Images in an image database may be clustered using characteristics of the images or metadata associated with the images in order to establish groups of images from which templates may be derived. The generated templates may be provided to users to assist in capturing images to be used as search engine queries.
Abstract translation: 提供了提供图像搜索模板的技术。 图像搜索模板可以与图像搜索查询相关联，以帮助用户捕获适合于处理搜索查询的图像。 在图像拍摄过程期间，可以将模板显示为覆盖图，以指示可提供更准确的搜索结果的适当的图像捕获姿态，范围，角度或其他视图特征。 模板也可以用于图像搜索查询中以分割图像并识别与搜索查询相关的特征。 图像数据库中的图像可以使用与图像相关联的图像或元数据的特征来聚类，以便建立可以从其导出模板的图像组。 可以将生成的模板提供给用户以帮助捕获要用作搜索引擎查询的图像。
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